Rupeng Li

1.1k citations
50 papers · 859 · h-index 16

Impact in

Papers in

Rupeng Li

46 papers receiving 847 citations

Peers

Rupeng Li
Comparison fields: 5 of 107
  • Cognitive Neuroscience 420
  • Radiology, Nuclear Medicine and Imaging 323
  • Acoustics and Ultrasonics 11
  • Cellular and Molecular Neuroscience 173
  • Neurology 46
Replace Anne‐Marie van Cappellen van Walsum with:
Anne‐Marie van Cappellen van Walsum Netherlands
Roman Maniewski Poland
Benoît Scherrer United States
Arabinda Mishra United States
Adrian R. Groves United Kingdom
Hamid Behnam Iran
Zhenhu Liang China
Cristián Tejos Chile
Eleftherios Garyfallidis United States
Matthias Lochmann Germany
Rupeng Li relative to Anne‐Marie van Cappellen van Walsum Netherlands Anne‐Marie van Cappellen van Walsum's profile →
Citations per field
00.5×1.5×2.0×
Anne‐Marie van Cappellen van Walsum · 1×
Citations per year

Countries citing papers authored by Rupeng Li

Since Specialization
Citations

This map shows the geographic impact of Rupeng Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Rupeng Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rupeng Li more than expected).

Fields of papers citing papers by Rupeng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rupeng Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Rupeng Li. The network helps show where Rupeng Li may publish in the future.

Co-authors

The 25 scholars most cited alongside Rupeng Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rupeng Li Line = papers co-authored together Rupeng Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008176
2 2009118
3 2009102
4 200849
5 201344
6 201833
7 200732
8 202025
9 202022
10 202322
11 201319
12 201518
13 201116
14 201416
15 202416
16 202116
17 201514
18 201313
19 201111
20 202210

About Rupeng Li

Rupeng Li is a scholar working on Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Biomedical Engineering and Mechanics of Materials, having authored 50 papers that have together received 859 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (11 papers), Functional Brain Connectivity Studies (9 papers), Photonic Crystal and Fiber Optics (8 papers), Advanced Fiber Optic Sensors (7 papers), Random lasers and scattering media (6 papers), Hydrocarbon exploration and reservoir analysis (6 papers), NMR spectroscopy and applications (6 papers) and Seismic Imaging and Inversion Techniques (5 papers). The work is most often cited by research in Cognitive Neuroscience (420 citations), Radiology, Nuclear Medicine and Imaging (323 citations), Acoustics and Ultrasonics (11 citations), Cellular and Molecular Neuroscience (173 citations) and Neurology (46 citations). Rupeng Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include James S. Hyde, Anthony G. Hudetz, Hani S. Matloub, Christopher P. Pawela, Younghoon R. Cho, Seth Jones, Bharat B. Biswal, Marie L. Schulte, Dennis S. Kao and Christoph H. Arns. Their work appears in journals such as NeuroImage, Plasmonics, Optical Fiber Technology, Optical and Quantum Electronics and Magnetic Resonance in Medicine.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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